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Staff Machine Learning Engineer

Xometry· Technology
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Hybrid (North Bethesda, MD)$200k - $220k + bonusfull-timePosted 4mo ago

About the role

Senior individual contributor role leading design and delivery of complex ML systems, architecting integrations across tech stack, and setting engineering standards for ML at scale. Owns AI/ML architecture behind the DFM AI + IQE integration and leads data engineering for the digital thread connecting Xometry to partner ecosystems.

Responsibilities

  • Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives
  • Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter, including real-time ML serving architecture, low-latency signal paths, data contracts, MLOps, governance, and observability for a mission-critical partner integration
  • Build for scale – Develop cloud-based production systems powering real-time endpoints and MLOps, integrated with Xometry's broader systems and infrastructure
  • Solve ambiguous problems – Navigate cross-domain technical challenges and deliver solutions meeting business and technical objectives
  • Set the Standard – Surface opportunities, own new processes, and develop multi-quarter roadmaps
  • Champion quality and security – Apply automated testing, parallel/distributed computing, and secure software development practices
  • Collaborate broadly – Partner with engineers, product managers, data scientists, and business stakeholders
  • Mentor and elevate – Guide other engineers through design/code reviews and mentorship
  • Stay current – Keep pace with ML/AI advances and bring new approaches/tools into practice

Qualifications

  • Bachelor's degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering with a track record of delivering complex ML systems in production
  • Deep expertise in ML/AI technologies (Gradient Boosting, Deep Learning, Generative AI frameworks) with focus on backend scalability
  • Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly preferred) with auto-scaling, monitoring, and alerting
  • Proficiency in Python and advanced ML/AI frameworks (TensorFlow, PyTorch, or similar)
  • Software engineering fundamentals, data structures, and algorithms
  • MLOps practices: model monitoring, data/concept drift detection, automated retraining/redeployment pipelines
  • CI/CD pipelines (e.g., GitHub Actions), test-driven development, and infrastructure as code (e.g., Terraform)
  • Profiling and optimizing ML model deployments for latency and throughput
  • Ability to operate independently on new/ambiguous assignments and communicate across engineering, product, and business audiences
  • Experience with state-of-the-art modeling techniques (transformers, self-supervised pre-training, LLMs, or generative AI)
  • Knowledge of containers, Kubernetes, and cloud-native distributed systems

Skills

Required:end-to-end ML lifecyclereal-time ML servingMLOpscloud platforms (AWS)PythonTensorFlow/PyTorchCI/CD and IaCtransformers/LLMs/generative AI

Benefits

  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • generous paid time off (vacation, sick leave, floating and fixed holidays, maternity and bonding leave)
  • employee assistance program and wellbeing resources
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Xometry

Where Big Ideas Are Built | Production Parts and Prototypes | Xometry

Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.

CNC Machining3D PrintingSheet Metal FabricationLaser CuttingPrototypingInjection MoldingMetal Part ProductionHigh-Volume Metal Production
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